Ruizhuo Song
Orcid: 0000-0002-6693-2738
According to our database1,
Ruizhuo Song
authored at least 77 papers
between 2010 and 2024.
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Bibliography
2024
Nearly Optimal Control for Mixed Zero-Sum Game Based on Off-Policy Integral Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Fully distributed synchronization on directed graphs via self-triggered control with positive minimum inter-event times.
Neurocomputing, 2024
D4C glove-train: solving the RPM and Bongard-logo problem by distributing and Circumscribing concepts.
CoRR, 2024
Triple-CFN: Restructuring Conceptual Spaces for Enhancing Abstract Reasoning process.
CoRR, 2024
2023
Online solving Nash equilibrium solution of N-player nonzero-sum differential games via recursive least squares.
Soft Comput., November, 2023
Adaptive Event-Triggered Average Tracking Control With Activable Event-Triggering Mechanisms.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
Constrained event-driven policy iteration design for nonlinear discrete time systems.
Neurocomputing, April, 2023
Dynamic Event-Triggered Leader-Follower Control for Multiagent Systems Subject to Input Time Delay.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Online Optimal Event-Triggered H∞ Control for Nonlinear Systems With Constrained State and Input.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Knowl. Based Syst., 2023
2022
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game.
IEEE Trans. Neural Networks Learn. Syst., 2022
Distributed optimized dynamic event-triggered control for unknown heterogeneous nonlinear MASs with input-constrained.
Neural Networks, 2022
Adaptive dynamic event-triggered control for constrained modular reconfigurable robot.
Knowl. Based Syst., 2022
Finite-time leader-follower consensus of a discrete-time system via sliding mode control.
Frontiers Inf. Technol. Electron. Eng., 2022
Leader-follower time-varying output formation control of heterogeneous systems under cyber attack with active leader.
Inf. Sci., 2022
Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone.
Neurocomputing, 2022
Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
Novel Resilient Structure of Output Formation Tracking of Heterogeneous Systems With Unknown Leader Under Contested Environments.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2021
IEEE Trans. Cybern., 2021
Output event-triggered tracking synchronization of heterogeneous systems on directed digraph via model-free reinforcement learning.
Inf. Sci., 2021
Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021
2020
Robust Optimal Control for Disturbed Nonlinear Zero-Sum Differential Games Based on Single NN and Least Squares.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Leader-Follower Bipartite Output Synchronization on Signed Digraphs Under Adversarial Factors via Data-Based Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020
Event-triggered constrained robust control for partly-unknown nonlinear systems via ADP.
Neurocomputing, 2020
Robust optimal control for a class of nonlinear systems with unknown disturbances based on disturbance observer and policy iteration.
Neurocomputing, 2020
Mix-zero-sum differential games for linear systems with unknown dynamics based on off-policy IRL.
Neurocomputing, 2020
2019
Synchronous optimal control method for nonlinear systems with saturating actuators and unknown dynamics using off-policy integral reinforcement learning.
Neurocomputing, 2019
Stable value iteration for two-player zero-sum game of discrete-time nonlinear systems based on adaptive dynamic programming.
Neurocomputing, 2019
Data-driven finite-horizon optimal tracking control scheme for completely unknown discrete-time nonlinear systems.
Neurocomputing, 2019
Bipartite state synchronization of heterogeneous system with active leader on signed digraph under adversarial inputs.
Neurocomputing, 2019
IEEE CAA J. Autom. Sinica, 2019
Output Resilient Containment Control of Heterogeneous Systems With Active Leaders Using Reinforcement Learning Under Attack Inputs.
IEEE Access, 2019
Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Discrete-Time Stable Generalized Self-Learning Optimal Control With Approximation Errors.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
2017
Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., 2017
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy.
IEEE Trans. Ind. Electron., 2017
Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Cybern., 2017
Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2017
Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration.
Neural Comput. Appl., 2017
Neural-network-based synchronous iteration learning method for multi-player zero-sum games.
Neurocomputing, 2017
Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2017
Containment control of heterogeneous systems with active leaders of bounded unknown control using reinforcement learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Local Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP.
IEEE Trans. Neural Networks Learn. Syst., 2016
Off-Policy Actor-Critic Structure for Optimal Control of Unknown Systems With Disturbances.
IEEE Trans. Cybern., 2016
ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks.
Neural Comput. Appl., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
2015
Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data.
IEEE Trans. Neural Networks Learn. Syst., 2015
Neurocomputing, 2015
Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming.
Neurocomputing, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems.
Soft Comput., 2014
A new self-learning optimal control laws for a class of discrete-time nonlinear systems based on ESN architecture.
Sci. China Inf. Sci., 2014
Neural-network-based optimal control for a class of complex-valued nonlinear systems with input saturation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Multi-objective optimal control for a class of nonlinear time-delay systems via adaptive dynamic programming.
Soft Comput., 2013
The finite-horizon optimal control for a class of time-delay affine nonlinear system.
Neural Comput. Appl., 2013
Multi-objective optimal control for a class of unknown nonlinear systems based on finite-approximation-error ADP algorithm.
Neurocomputing, 2013
Neuro-control to Energy Minimization for a Class of Chaotic Systems Based on ADP Algorithm.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
Optimal Tracking Control for a Class of Nonlinear Time-Delay Systems with Actuator Saturation.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2013
Optimal control for a class of nonlinear system with controller constraints based on finite-approximation-errors ADP algorithm.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
Adaptive dynamic programming for sensor scheduling in energy-constrained wireless sensor networks.
Proceedings of the 15th International Conference on Information Fusion, 2012
2011
Optimal Tracking Control for a Class of Nonlinear Discrete-Time Systems With Time Delays Based on Heuristic Dynamic Programming.
IEEE Trans. Neural Networks, 2011
N-step optimal time-invariant trajectory tracking control for a class of nonlinear systems.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Optimal control laws for time-delay systems with saturating actuators based on heuristic dynamic programming.
Neurocomputing, 2010
Near-optimal control laws based on Heuristic Dynamic Programming iteration algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010